AI Engineer – Human-to-Robot Learning (human)

Posted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Robotics
The Role
Develop multimodal representations from body-worn human data, enable cross-embodiment transfer to robot action spaces, design pretraining and fine-tuning for robotic foundation models, build benchmarks, and collaborate closely with hardware and systems teams to guide data capture requirements.
Summary Generated by Built In
Your Mission & Challenges
  • Model the Human Experience: Turn multimodal, body-worn data into representations a robot can learn from.

  • Bridge Two Bodies: Solve cross-embodiment transfer, translating human motion and interaction into action spaces a robot with a completely different body can use.

  • Build Foundation Models That Act: Design pretraining and fine-tuning strategies for robotic foundation models.

  • Prove It Works: Build the benchmarks that separate models that merely mimic from models that generalize.

  • Shape What Gets Captured Next: Turn model blind spots into sharp, concrete requirements for data capturing devices.

  • Cross-Functional Collaboration: Work shoulder to shoulder with hardware and systems engineering teams while staying laser-focused on the data and AI side.

What We Can Look Forward To
  • Master's or PhD in Computer Science, Machine Learning, Robotics, or comparable.

  • Real, hands-on experience with multimodal foundation models (VLA, video-action, or similar).

  • Experience with cross-embodiment transfer, RL based retargeting.

  • Deep understanding of low-level robotics control.

  • Strong grounding in imitation learning, representation learning, and self-supervised learning across sensor modalities.

  • Fluency in modern machine learning frameworks and large-scale training infrastructure.

  • A communicator who moves easily between researchers, engineers, and hardware teams.

  • Fluent English, German a plus.

Skills Required

  • Master's or PhD in Computer Science, Machine Learning, Robotics, or comparable
  • Hands-on experience with multimodal foundation models (e.g., VLA, video-action)
  • Experience with cross-embodiment transfer and RL-based retargeting
  • Deep understanding of low-level robotics control
  • Strong grounding in imitation learning, representation learning, and self-supervised learning across sensor modalities
  • Fluency in modern machine learning frameworks and large-scale training infrastructure
  • Ability to communicate effectively across research, engineering, and hardware teams
  • Fluent English (German a plus)
Am I A Good Fit?
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The Company
HQ: Metzingen
180 Employees
Year Founded: 2019

What We Do

NEURA Robotics is a German high-tech company founded in 2019 in Metzingen near Stuttgart with the vision to revolutionize the world of robotics. More than 180 team members from over 30 countries are working on advanced technologies in the fields of environmental perception, drive and control technology, material science, mechanical design, and artificial intelligence. We are expanding the cognitive capabilities of robots and make breakthrough advances in a variety of areas to bring robots and humans closer together, making many areas of work more attractive, creative, and social again. That's why everything we do runs under the guiding principle "we serve humanity". In a very short period of time, NEURA Robotics has developed robots and technologies that are characterized above all by their outstanding performance as well as safe and human-centred way of working. In this way, a wide variety of application fields can be covered, from intelligent production to medical technology. All major robot components are developed and designed in-house. Imprint: https://www.neura-robotics.com/legal Privacy: https://www.neura-robotics.com/privacy

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